Dejavu augments frozen VLA policies with an Experience Feedback Network that retrieves relevant past trajectories and uses RL-trained semantic similarity rewards to enable post-deployment adaptation in embodied tasks.
Agibot world colosseo: A large-scale manipu- lation platform for scalable and intelligent embodied systems,
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Dejavu: Towards Experience Feedback Learning for Embodied Intelligence
Dejavu augments frozen VLA policies with an Experience Feedback Network that retrieves relevant past trajectories and uses RL-trained semantic similarity rewards to enable post-deployment adaptation in embodied tasks.